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htsget: a protocol for securely streaming genomic data.

Jerome Kelleher1, Mike Lin2, C H Albach3

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Summary
This summary is machine-generated.

We developed htsget, a protocol for secure and efficient access to high-throughput sequencing data. This enables large-scale genomic data sharing through standardized interfaces and demonstrated interoperability.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Data Science

Background:

  • High-throughput sequencing generates massive datasets crucial for genomic research.
  • Efficient and secure data access is essential for large-scale genomic data sharing.
  • Existing methods can be inefficient for accessing specific data subsets.

Purpose of the Study:

  • To introduce htsget, a novel protocol for accessing sequencing data.
  • To ensure secure, efficient, and reliable data retrieval for genomic applications.
  • To facilitate standardized access to sequencing read and variation data.

Main Methods:

  • Development of the htsget protocol specification.
  • Implementation of multiple independent htsget client and server software.
  • Conducting a comprehensive interoperability demonstration across implementations.

Main Results:

  • htsget provides a standardized interface for accessing sequencing data.
  • Demonstrated secure, efficient, and reliable data access capabilities.
  • Successful interoperability confirmed across four distinct client and server implementations.

Conclusions:

  • htsget is a viable solution for standardized, efficient genomic data access.
  • The protocol supports large-scale genomic data sharing and collaboration.
  • The demonstrated implementations pave the way for widespread adoption.